Can including pros and cons increase the helpfulness and persuasiveness of online reviews? The interactive effects of ratings and arguments ☆
By Ann E. Schlosser. 2011
282 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/28f5099d987263e2f08c57ec2491ef32180021f8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Zoey Chen
- Arpita Agnihotri
- Jill G. Griffin
- S. Satish
- Saurabh Bhattacharya
- Anubhav A. Mishra
- Susan M. Broniarczyk
- Nicholas H. Lurie
In Sociology and Political Science
- Andreas B. Eisingerich
- Zoey Chen
- Arpita Agnihotri
- Jill G. Griffin
- Simon Bell
- Sheng Bi
- K. Usman
- Zhiying Liu
Citations in the corpus
- Online Review Helpfulness: Role of Qualitative Factors (2016, background): “…of the review such as review rating and the qualitative aspect such as review readability, which affect firm specific outcomes such as sales growth (Dellarocas, Xiaoquan, and Awad 2007; DeLange et. al, 2015), purchase intention (Jimenez and Mendoza, 2013) or review helpfulness (Schlosser, 2011).”
- The influence of online information on investing decisions of reward-based crowdfunding (2017, background): “…recognized that online reviews are the most effective marketing tool, since people's online behavior will be deeply affected by electronic word-of-mouth and online shoppers rely heavily on online product reviews to make purchase decisions (Park and Kim, 2008; Schlosser, 2011; Sen and Lerman, 2007).”
- Decision Difficulty in the Age of Consumer Empowerment (2014, background): “Specifically, when the overall review rating is extremely positive, reviews with conflicting pro and con information lower consumer judgments of the reviewed product (Schlosser, 2011).”
- Temporal Contiguity and Negativity Bias in the Impact of Online Word of Mouth (2013, background): “Studies 2b and 3 test the proposed mechanism through which temporal contiguity affects review 1Under certain circumstances, people judge negative evaluators to be more intelligent and discriminating (Amabile and Glazebrook 1982; Schlosser 2005).”
- Why recommend a brand face-to-face but not on Facebook? How word-of-mouth on online social sites differs from traditional word-of-mouth (2015, background): “While the shift toward e-commerce is undeniable and although both WOM and sWOM have received considerable attention by researchers and theorists of late (Berger & Schwartz, 2011; Gershoff, Mukherjee, & Mukhopadhyay, 2003; Schlosser, 2011; Trusov, Bucklin, & Pauwels, 2009), we still have a limited un”
- eWOM: Extant Research Review and Future Research Avenues (2016, background): “…and Trusov (2011) Bath, fragrance, and beauty products Cross-product temporal variation in ratings and sales Static and dynamic effects of ratings Schlosser (2011) Movies Helpfulness Review helpful or not Xia (2013) Coffee House (Dunkin’s Donuts and Starbucks) Vulnerable and defensive response…”